Robust Variable Step-Size Decorrelation Normalized Least-Mean-Square Algorithm and its Application to Acoustic Echo Cancellation

Abstract

In this paper, we present a robust variable step-size decorrelation normalized least-mean-square RVSSDNLMS algorithm. A new constrained minimization problem is developed by minimizing the l<sub>2</sub> norm of the a decorrelated posteriori error signal with a constraint on the filter coefficients in the l<sub>2</sub> norm sense. Solving this minimization… (More)
DOI: 10.1109/TASLP.2016.2556280

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@article{Zhang2016RobustVS, title={Robust Variable Step-Size Decorrelation Normalized Least-Mean-Square Algorithm and its Application to Acoustic Echo Cancellation}, author={Sheng Zhang and Jiashu Zhang and Hongyu Han}, journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing}, year={2016}, volume={24}, pages={2368-2376} }